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Senolytics rejuvenate aging cardiomyopathy in human cardiac organoids

GSE280050 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2026/01/29 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 15 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
15 samples: 5 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Senolytic therapies for cardiovascular aging: tackling fibrosis and metabolic dysfunctionEuropean journal of internal medicine · 2025
Summary (written by the submitters)
Human cardiac organoids closely replicate the architecture and function of the human heart, offering a potential accurate platform for studying aging cardiomyopathy. Senolytics have shown potential in addressing age-related pathologies. However, their potential to reverse aging-related human cardiomyopathy remains largely unexplored. We employed human iPSC-derived cardiac organoids (hCardioids) to model doxorubicin-induced cardiomyopathy in an aged context.
Read the full summary ↓
hCardioids were treated with doxorubicin (DOXO) and subsequently with a combination of two senolytics: dasatinib (D) and quercetin (Q). DOXO-treated hCardioids exhibited significantly increased oxidative stress, DNA damage (pH2AX), cellular senescence (p16) and decreased cell proliferation associated with a senescence-associated secretory phenotype (SASP). DOXO-treated hCardioids were considerably deprived of cardiac progenitors and displayed reduced cardiomyocyte proliferation as well as contractility. These distinctive aging-associated characteristics were confirmed by global RNA-sequencing analysis. Treatment with D+Q reversed these effects, reducing oxidative stress and senescence markers, alleviating SASP, and restoring hCardioids viability and function Additionally, senolytics replenished cardiac progenitors and reversed the cardiomyocyte proliferation deficit. Doxorubicin triggers an age-associated phenotype in hCardioids representing a reliable model of aged cardiomyopathy. Senescence is a key mechanism of the aged phenotype as senolytics rejuvenated aged hCardioids restoring their structure and function while reverting the age-associated regenerative deficit.
Published in
Senolytic therapies for cardiovascular aging: tackling fibrosis and metabolic dysfunction
Atlante S, Gottardi Zamperla M, Cis L et al. · European journal of internal medicine 2025 · PMID 40670263 · doi:10.1016/j.ejim.2025.07.009
This dataset
Open GSE280050 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE280050_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1176030 and SRA study SRP540173. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40670263) ↗
Study design
5 conditions, mostly in triplicate
hCOs ×3 aged-hCOs ×3 D+Q aged-hCOs ×3 HiPSCs ×3 8d ×3

Supports a between-group comparison across 15 samples.

How we read this: 5 replicated groups read from 15 sample titles; they account for 15 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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